Platforms & Simulation

A closer look

Robotics teams need a way to test changes, move data, connect software, and run compute-intensive workloads. This family builds the tools and infrastructure that make that development possible.

Its outputs include simulation environments, robot middleware, data pipelines, training infrastructure, and automated tests. The central responsibility is making development and evaluation repeatable.

What the work involves

Build virtual scenes and sensor models, manage robot recordings, connect services, and create repeatable evaluation pipelines. Teams investigate whether a test represents the real system, whether a result can be reproduced, and whether developers can trace an error to its source.

Robotics Simulation Engineer

Builds virtual environments, sensor models, and physics-based tests for developing robotic systems.

Digital Twin Engineer

Connects a digital representation to physical-system data so teams can inspect and test operational scenarios.

Robotics Middleware Engineer

Builds the communication, interfaces, and runtime services connecting robot software components.

Robotics Data Engineer

Creates pipelines for recording, organizing, validating, and retrieving robot and sensor data.

Machine Learning Infrastructure Engineer

Builds the systems used to train, evaluate, version, and deploy machine learning models.

GPU Systems Engineer

Configures and optimizes accelerated computing systems for simulation, training, and inference workloads.

Robotics Test Automation Engineer

Builds repeatable software and hardware-in-the-loop tests that catch regressions in robotic systems.

Skills & qualifications

Software, computer engineering, and applied mathematics study can support this work. Simulation also draws on physical modeling, while infrastructure roles draw on systems engineering. Select preparation for the role’s actual responsibilities and technical prerequisites.

How to get started

Build a reproducible simulation or data-processing pipeline with a documented setup and an automated test. Software professionals can connect existing infrastructure skills to robot data; students can begin with one scene, one sensor, and a clearly defined validation task.

Further reading